Overview
Skills
Job Details
We are seeking an experienced Power Systems Reliability Engineer who will be responsible for transforming raw inspection and diagnostic data into actionable insights that drive Utility s asset health and risk management program. This role will analyze condition data from substation inspections, develop risk models and reliability indices, and support the creation of a prioritized investment roadmap. The engineer will also ensure compliance with industry best practices, standards, and benchmarking frameworks, enabling the Utility to move toward a data-driven, predictive maintenance strategy.
Key Responsibilities
- Collect, validate, and process field inspection data from substations (transformer DGA results, breaker timing, insulation tests, thermographic surveys, etc.).
- Develop and maintain asset health indices (Condition Index, Criticality Index, Probability of Failure, Consequence of Failure).
- Conduct Failure Modes and Effects Analysis (FMEA) for major substation assets.
- Construct a risk matrix (heat map) to visually prioritize assets for maintenance, replacement, or monitoring.
- Perform statistical analysis of asset performance, failure history, and outage impacts.
- Benchmark Utility s asset health and maintenance programs against utility industry standards (NERC, IEEE, IEC) and best practices.
- Support the creation of a centralized digital asset database that integrates geotagged images, metadata, and condition scores.
- Collaborate with engineers, SMEs, and project managers to develop interim and final asset health reports.
- Provide input on predictive and condition-based maintenance strategies, including the integration of digital sensors and monitoring technologies.
- Present data-driven insights and recommendations to stakeholders.
Qualifications
- Experience: 5 8+ years of experience in utility reliability engineering, asset management analytics, or power system performance analysis.
- Strong background in statistical modeling, reliability engineering methods, and condition-based asset management.
- Familiarity with utility substation equipment (transformers, breakers, relays, auxiliary systems) and diagnostic test data.
- Proficiency with data analysis and visualization tools (Python, R, MATLAB, Power BI, or Tableau).
- Experience developing risk indices, asset health scores, and reliability models.
- Knowledge of standards and practices: NERC reliability metrics, IEEE/IEC equipment testing, ISO 55000 asset management.
- Strong technical writing skills for reporting findings and recommendations.
- Education: Bachelor s degree in Electrical Engineering, Industrial Engineering, Data Science, or related field (Master s preferred).
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